Evidence map›Paper›PMID 32265436›Full record

ArticleTranslational psychiatry2020

Machine learning classification of ADHD and HC by multimodal serotonergic data.

A Kautzky, T Vanicek, C Philippe, G S Kranz, W Wadsak, M Mitterhauser, A Hartmann, A Hahn, M Hacker, D Rujescu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  7. The combination of physiology and machine learning for prediction of CPAP pressure and residual AHI in OSA.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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  17. Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

A KautzkyDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
T VanicekDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
C PhilippeDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
G S KranzDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0002-3892-1804
W WadsakDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-4479-8053
M MitterhauserDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
A HartmannDepartment of Psychiatry, University of Halle, Halle, Germany.
A HahnDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0001-9727-7580
M HackerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
D RujescuDepartment of Psychiatry, University of Halle, Halle, Germany.
S KasperDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
R LanzenbergerDepartment of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria. rupert.lanzenberger@meduniwien.ac.at.ORCID http://orcid.org/0000-0003-4641-9539
Medical University of Vienna · ATCenter For Biomarker Research In Medicine · ATHong Kong Polytechnic University · HKLudwig Boltzmann Institute Applied Diagnostics · AT

Funding

Austrian Science Fund FWF KLI 516Austrian Science Fund FWF P 27141
6 · The paper itself

Abstract

Serotonin neurotransmission may impact the etiology and pathology of attention-deficit and hyperactivity disorder (ADHD), partly mediated through single nucleotide polymorphisms (SNPs). We propose a multivariate, genetic and positron emission tomography (PET) imaging classification model for ADHD and healthy controls (HC). Sixteen patients with ADHD and 22 HC were scanned by PET to measure serotonin transporter (SERT') binding potential with [

Indexed as

Attention Deficit Disorder with HyperactivityHumansMachine LearningPolymorphism, Single NucleotidePositron-Emission TomographySerotonin Plasma Membrane Transport ProteinsTryptophan HydroxylaseSerotonin Plasma Membrane Transport ProteinsTPH2 protein, humanTryptophan Hydroxylase

Identifiers

PMID32265436
PMCPMC7138849
OpenAlexW3014484706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.